{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import requests\n",
    "import json\n",
    "from sklearn.metrics.pairwise import cosine_similarity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 0.18353259]])"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cosine_similarity(np.array([4,0,5,3,5,0,0]).reshape(1,-1),\\\n",
    "                  np.array([0,4,0,4,0,5,0]).reshape(1,-1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 0.88527041]])"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cosine_similarity(np.array([4,0,5,3,5,0,0]).reshape(1,-1),\\\n",
    "                  np.array([2,0,2,0,1,0,0]).reshape(1,-1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 0.30772873]])"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cosine_similarity(np.array([-.25,0,.75,-1.25,.75,0,0])\\\n",
    "                  .reshape(1,-1),\\\n",
    "                  np.array([0,-.33,0,-.33,0,.66,0])\\\n",
    "                  .reshape(1,-1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[-0.24618298]])"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cosine_similarity(np.array([-.25,0,.75,-1.25,.75,0,0])\\\n",
    "                  .reshape(1,-1),\\\n",
    "                  np.array([.33,0,.33,0,-.66,0,0])\\\n",
    "                  .reshape(1,-1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 0.42447212]])"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "user_x = [0,.33,0,-.66,0,33,0]\n",
    "user_y = [0,0,0,-1,0,.5,.5]\n",
    "\n",
    "cosine_similarity(np.array(user_x).reshape(1,-1),\\\n",
    "                  np.array(user_y).reshape(1,-1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 0.46571861]])"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "user_x = [0,.33,0,-.66,0,33,0]\n",
    "user_z = [0,-.125,0,-.625,0,.375,.375]\n",
    "\n",
    "cosine_similarity(np.array(user_x).reshape(1,-1),\\\n",
    "                  np.array(user_z).reshape(1,-1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 0.98221439]])"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s1 = [-1.0,0.0,0.0,0.0,1.0]\n",
    "s2 = [-1.66,0.0,.33,0.0,1.33]\n",
    "\n",
    "cosine_similarity(np.array(s1).reshape(1,-1),\\\n",
    "                  np.array(s2).reshape(1,-1))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Build a Recommendation Engine"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 519,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "myun = 'YOUR_USERNAME'\n",
    "mypw = 'YOUR_USER_TOKEN'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Get the repos I have starred"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "my_starred_repos = []\n",
    "def get_starred_by_me():\n",
    "    resp_list = []\n",
    "    last_resp = ''\n",
    "    first_url_to_get = 'https://api.github.com/user/starred'\n",
    "    first_url_resp = requests.get(first_url_to_get, auth=(myun,mypw))\n",
    "    last_resp = first_url_resp\n",
    "    resp_list.append(json.loads(first_url_resp.text))\n",
    "    \n",
    "    while last_resp.links.get('next'):\n",
    "        next_url_to_get = last_resp.links['next']['url']\n",
    "        next_url_resp = requests.get(next_url_to_get, auth=(myun,mypw))\n",
    "        last_resp = next_url_resp\n",
    "        resp_list.append(json.loads(next_url_resp.text))\n",
    "        \n",
    "    for i in resp_list:\n",
    "        for j in i:\n",
    "            msr = j['html_url']\n",
    "            my_starred_repos.append(msr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "get_starred_by_me()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 388,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['https://github.com/pydata/pandas',\n",
       " 'https://github.com/ipython/ipywidgets',\n",
       " 'https://github.com/tweepy/tweepy',\n",
       " 'https://github.com/matplotlib/matplotlib',\n",
       " 'https://github.com/d3/d3',\n",
       " 'https://github.com/JohnLangford/vowpal_wabbit',\n",
       " 'https://github.com/tensorflow/tensorflow',\n",
       " 'https://github.com/scikit-learn/scikit-learn',\n",
       " 'https://github.com/chncyhn/flappybird-qlearning-bot',\n",
       " 'https://github.com/josephmisiti/awesome-machine-learning',\n",
       " 'https://github.com/vinta/awesome-python',\n",
       " 'https://github.com/yawitzd/dsi-course-materials',\n",
       " 'https://github.com/ujjwalkarn/DataSciencePython',\n",
       " 'https://github.com/ga-students/DSI-SF-1',\n",
       " 'https://github.com/ga-students/DAT-23-NYC',\n",
       " 'https://github.com/generalassembly-studio/dsi-course-materials',\n",
       " 'https://github.com/wdm0006/twitter-pandas',\n",
       " 'https://github.com/ga-students/DS_HK_2',\n",
       " 'https://github.com/podopie/DAT18NYC',\n",
       " 'https://github.com/jmcarp/robobrowser',\n",
       " 'https://github.com/Charging-Alot/SpeakEasy-AI',\n",
       " 'https://github.com/bikz05/bag-of-words',\n",
       " 'https://github.com/cemoody/lda2vec',\n",
       " 'https://github.com/serkanyersen/angular-circular-progress',\n",
       " 'https://github.com/shutterstock/lil-brother',\n",
       " 'https://github.com/kennethreitz/grequests',\n",
       " 'https://github.com/dataproofer/Dataproofer',\n",
       " 'https://github.com/PMSI-AlignAlytics/dimple',\n",
       " 'https://github.com/toddmotto/public-apis',\n",
       " 'https://github.com/NathanEpstein/Dora',\n",
       " 'https://github.com/iamaziz/PyDataset',\n",
       " 'https://github.com/dhamaniasad/awesome-postgres',\n",
       " 'https://github.com/amontalenti/elements-of-python-style',\n",
       " 'https://github.com/misterGF/echo',\n",
       " 'https://github.com/matryer/bitbar',\n",
       " 'https://github.com/jonathanslenders/pymux',\n",
       " 'https://github.com/lmcinnes/hdbscan',\n",
       " 'https://github.com/Quartz/bad-data-guide',\n",
       " 'https://github.com/wdm0006/categorical_encoding',\n",
       " 'https://github.com/tensorflow/skflow',\n",
       " 'https://github.com/CSNW/d3.compose',\n",
       " 'https://github.com/coursera-dl/coursera-dl',\n",
       " 'https://github.com/twitter/labella.js',\n",
       " 'https://github.com/fivethirtyeight/data',\n",
       " 'https://github.com/sloria/TextBlob',\n",
       " 'https://github.com/mit-nlp/MITIE',\n",
       " 'https://github.com/grangier/python-goose',\n",
       " 'https://github.com/nicolaskruchten/jupyter_pivottablejs',\n",
       " 'https://github.com/lukhnos/textrank-study-python',\n",
       " 'https://github.com/jreback/PyDataNYC2015',\n",
       " 'https://github.com/mikemull/Notebooks',\n",
       " 'https://github.com/stitchfix/d3-jupyter-tutorial',\n",
       " 'https://github.com/bmtgoncalves/Mining-Georeferenced-Data',\n",
       " 'https://github.com/hangtwenty/dive-into-machine-learning',\n",
       " 'https://github.com/rhiever/Data-Analysis-and-Machine-Learning-Projects',\n",
       " 'https://github.com/minimaxir/video-to-gif-osx',\n",
       " 'https://github.com/justmarkham/DAT3',\n",
       " 'https://github.com/niklasvh/html2canvas',\n",
       " 'https://github.com/kennethreitz/requests',\n",
       " 'https://github.com/simple-statistics/simple-statistics',\n",
       " 'https://github.com/cchi/viral-markov',\n",
       " 'https://github.com/yhat/DataGotham2013',\n",
       " 'https://github.com/sandialabs/toyplot',\n",
       " 'https://github.com/bloomberg/bqplot',\n",
       " 'https://github.com/caesar0301/awesome-public-datasets',\n",
       " 'https://github.com/zenorocha/clipboard.js',\n",
       " 'https://github.com/fent/randexp.js',\n",
       " 'https://github.com/automl/auto-sklearn',\n",
       " 'https://github.com/elastic/elasticsearch-dsl-py',\n",
       " 'https://github.com/szilard/benchm-ml',\n",
       " 'https://github.com/fasouto/awesome-dataviz',\n",
       " 'https://github.com/rushter/data-science-blogs',\n",
       " 'https://github.com/agermanidis/autosub',\n",
       " 'https://github.com/clips/pattern',\n",
       " 'https://github.com/summanlp/textrank',\n",
       " 'https://github.com/jseabold/depy',\n",
       " 'https://github.com/brandomr/document_cluster',\n",
       " 'https://github.com/lensacom/sparkit-learn',\n",
       " 'https://github.com/ipython/ipython',\n",
       " 'https://github.com/jakevdp/sklearn_pycon2015',\n",
       " 'https://github.com/donnemartin/data-science-ipython-notebooks',\n",
       " 'https://github.com/monkeylearn/twitter-post',\n",
       " 'https://github.com/paulgb/sklearn-pandas',\n",
       " 'https://github.com/datamade/name-cleaver',\n",
       " 'https://github.com/derek73/python-nameparser',\n",
       " 'https://github.com/jakevdp/2013_fall_ASTR599']"
      ]
     },
     "execution_count": 388,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "my_starred_repos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "86"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(my_starred_repos)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "my_starred_users = []\n",
    "for ln in my_starred_repos:\n",
    "    right_split = ln.split('.com/')[1]\n",
    "    starred_usr = right_split.split('/')[0]\n",
    "    my_starred_users.append(starred_usr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['pydata',\n",
       " 'ipython',\n",
       " 'tweepy',\n",
       " 'matplotlib',\n",
       " 'd3',\n",
       " 'JohnLangford',\n",
       " 'tensorflow',\n",
       " 'scikit-learn',\n",
       " 'chncyhn',\n",
       " 'josephmisiti',\n",
       " 'vinta',\n",
       " 'yawitzd',\n",
       " 'ujjwalkarn',\n",
       " 'ga-students',\n",
       " 'ga-students',\n",
       " 'generalassembly-studio',\n",
       " 'wdm0006',\n",
       " 'ga-students',\n",
       " 'podopie',\n",
       " 'jmcarp',\n",
       " 'Charging-Alot',\n",
       " 'bikz05',\n",
       " 'cemoody',\n",
       " 'serkanyersen',\n",
       " 'shutterstock',\n",
       " 'kennethreitz',\n",
       " 'dataproofer',\n",
       " 'PMSI-AlignAlytics',\n",
       " 'toddmotto',\n",
       " 'NathanEpstein',\n",
       " 'iamaziz',\n",
       " 'dhamaniasad',\n",
       " 'amontalenti',\n",
       " 'misterGF',\n",
       " 'matryer',\n",
       " 'jonathanslenders',\n",
       " 'lmcinnes',\n",
       " 'Quartz',\n",
       " 'wdm0006',\n",
       " 'tensorflow',\n",
       " 'CSNW',\n",
       " 'coursera-dl',\n",
       " 'twitter',\n",
       " 'fivethirtyeight',\n",
       " 'sloria',\n",
       " 'mit-nlp',\n",
       " 'grangier',\n",
       " 'nicolaskruchten',\n",
       " 'lukhnos',\n",
       " 'jreback',\n",
       " 'mikemull',\n",
       " 'stitchfix',\n",
       " 'bmtgoncalves',\n",
       " 'hangtwenty',\n",
       " 'rhiever',\n",
       " 'minimaxir',\n",
       " 'justmarkham',\n",
       " 'niklasvh',\n",
       " 'kennethreitz',\n",
       " 'simple-statistics',\n",
       " 'cchi',\n",
       " 'yhat',\n",
       " 'sandialabs',\n",
       " 'bloomberg',\n",
       " 'caesar0301',\n",
       " 'zenorocha',\n",
       " 'fent',\n",
       " 'automl',\n",
       " 'elastic',\n",
       " 'szilard',\n",
       " 'fasouto',\n",
       " 'rushter',\n",
       " 'agermanidis',\n",
       " 'clips',\n",
       " 'summanlp',\n",
       " 'jseabold',\n",
       " 'brandomr',\n",
       " 'lensacom',\n",
       " 'ipython',\n",
       " 'jakevdp',\n",
       " 'donnemartin',\n",
       " 'monkeylearn',\n",
       " 'paulgb',\n",
       " 'datamade',\n",
       " 'derek73',\n",
       " 'jakevdp']"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "my_starred_users"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "86"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(my_starred_users)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Looks like some duplication because I starred multiple repos for some users"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "79"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(set(my_starred_users))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Now let's get the repos they starred"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "starred_repos = {k:[] for k in set(my_starred_users)}\n",
    "def get_starred_by_user(user_name):\n",
    "    starred_resp_list = []\n",
    "    last_resp = ''\n",
    "    first_url_to_get = 'https://api.github.com/users/'+ user_name +'/starred'\n",
    "    first_url_resp = requests.get(first_url_to_get, auth=(myun,mypw))\n",
    "    last_resp = first_url_resp\n",
    "    starred_resp_list.append(json.loads(first_url_resp.text))\n",
    "    \n",
    "    while last_resp.links.get('next'):\n",
    "        next_url_to_get = last_resp.links['next']['url']\n",
    "        next_url_resp = requests.get(next_url_to_get, auth=(myun,mypw))\n",
    "        last_resp = next_url_resp\n",
    "        starred_resp_list.append(json.loads(next_url_resp.text))\n",
    "        \n",
    "    for i in starred_resp_list:\n",
    "        for j in i:\n",
    "            sr = j['html_url']\n",
    "            starred_repos.get(user_name).append(sr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pydata\n",
      "podopie\n",
      "twitter\n",
      "grangier\n",
      "bmtgoncalves\n",
      "bloomberg\n",
      "donnemartin\n",
      "cchi\n",
      "monkeylearn\n",
      "misterGF\n",
      "clips\n",
      "hangtwenty\n",
      "sandialabs\n",
      "yhat\n",
      "d3\n",
      "vinta\n",
      "shutterstock\n",
      "matryer\n",
      "lmcinnes\n",
      "szilard\n",
      "automl\n",
      "mit-nlp\n",
      "elastic\n",
      "kennethreitz\n",
      "dataproofer\n",
      "paulgb\n",
      "justmarkham\n",
      "dhamaniasad\n",
      "zenorocha\n",
      "brandomr\n",
      "iamaziz\n",
      "NathanEpstein\n",
      "caesar0301\n",
      "jakevdp\n",
      "tensorflow\n",
      "sloria\n",
      "CSNW\n",
      "agermanidis\n",
      "wdm0006\n",
      "jreback\n",
      "bikz05\n",
      "yawitzd\n",
      "simple-statistics\n",
      "summanlp\n",
      "ga-students\n",
      "coursera-dl\n",
      "scikit-learn\n",
      "jonathanslenders\n",
      "jmcarp\n",
      "chncyhn\n",
      "josephmisiti\n",
      "amontalenti\n",
      "ipython\n",
      "stitchfix\n",
      "datamade\n",
      "mikemull\n",
      "matplotlib\n",
      "Quartz\n",
      "fasouto\n",
      "lensacom\n",
      "jseabold\n",
      "rhiever\n",
      "minimaxir\n",
      "fivethirtyeight\n",
      "nicolaskruchten\n",
      "tweepy\n",
      "generalassembly-studio\n",
      "derek73\n",
      "niklasvh\n",
      "serkanyersen\n",
      "JohnLangford\n",
      "fent\n",
      "Charging-Alot\n",
      "toddmotto\n",
      "rushter\n",
      "cemoody\n",
      "PMSI-AlignAlytics\n",
      "lukhnos\n",
      "ujjwalkarn\n"
     ]
    }
   ],
   "source": [
    "for usr in list(set(my_starred_users)):\n",
    "    print(usr)\n",
    "    try:\n",
    "        get_starred_by_user(usr)\n",
    "    except:\n",
    "        print('failed for user', usr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "79"
      ]
     },
     "execution_count": 165,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(starred_repos)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Now we'll build a vocabulary that includes all the repos starred by the users I starred"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "repo_vocab = [item for sl in list(starred_repos.values()) for item in sl]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "repo_set = list(set(repo_vocab))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 391,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "12378"
      ]
     },
     "execution_count": 391,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(repo_set)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "all_usr_vector = []\n",
    "for k,v in starred_repos.items():\n",
    "    usr_vector = []\n",
    "    for url in repo_set:\n",
    "        if url in v:\n",
    "            usr_vector.extend([1])\n",
    "        else:\n",
    "            usr_vector.extend([0])\n",
    "    all_usr_vector.append(usr_vector)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 389,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "79"
      ]
     },
     "execution_count": 389,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(all_usr_vector)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "df = pd.DataFrame(all_usr_vector, columns=repo_set, index=starred_repos.keys())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "      <th>https://github.com/wagerfield/parallax</th>\n",
       "      <th>https://github.com/agibsonsw/AndyPython</th>\n",
       "      <th>https://github.com/taion/scroll-behavior</th>\n",
       "      <th>https://github.com/anicollection/anicollection</th>\n",
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       "      <th>https://github.com/KristianOellegaard/packer-storm</th>\n",
       "      <th>https://github.com/carlsednaoui/ouibounce</th>\n",
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       "      <th>https://github.com/codysoyland/jquery-cookie</th>\n",
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       "      <th>https://github.com/pytest-dev/pytest</th>\n",
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       "      <th>https://github.com/bonzanini/CheerMeApp-demo</th>\n",
       "      <th>https://github.com/mikesall/charted</th>\n",
       "      <th>https://github.com/daviddrysdale/python-phonenumbers</th>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mit-nlp</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>elastic</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>kennethreitz</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>justmarkham</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dhamaniasad</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>brandomr</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>jakevdp</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pydata</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>coursera-dl</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ipython</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>minimaxir</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>datamade</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>mikemull</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
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       "      <td>0</td>\n",
       "      <td>...</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fent</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>matplotlib</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fasouto</th>\n",
       "      <td>1</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>zenorocha</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>lensacom</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>jseabold</th>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rhiever</th>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>serkanyersen</th>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nicolaskruchten</th>\n",
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       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tweepy</th>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>caesar0301</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>iamaziz</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>generalassembly-studio</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>stitchfix</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>derek73</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>niklasvh</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NathanEpstein</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shutterstock</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rushter</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Charging-Alot</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Quartz</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>toddmotto</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cemoody</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PMSI-AlignAlytics</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lukhnos</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fivethirtyeight</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>79 rows × 12378 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                        https://github.com/wagerfield/parallax  \\\n",
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       "                        https://github.com/codysoyland/jquery-cookie  \\\n",
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       "                        https://github.com/ikreymer/pywb  \n",
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       "coursera-dl                                            0  \n",
       "...                                                  ...  \n",
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       "\n",
       "[79 rows x 12378 columns]"
      ]
     },
     "execution_count": 172,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 390,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "12378"
      ]
     },
     "execution_count": 390,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "len(df.columns)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Now I need to add myself to this dataframe to find the similarity between myself and the other users"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "my_repo_comp = []\n",
    "for i in df.columns:\n",
    "    if i in my_starred_repos:\n",
    "        my_repo_comp.append(1)\n",
    "    else:\n",
    "        my_repo_comp.append(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "mrc = pd.Series(my_repo_comp).to_frame(myun).T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "metadata": {
    "collapsed": false
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   "outputs": [
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    "mrc"
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   "cell_type": "code",
   "execution_count": 177,
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    "mrc.columns = df.columns"
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  {
   "cell_type": "code",
   "execution_count": 178,
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   "source": [
    "fdf = pd.concat([df, mrc])"
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  {
   "cell_type": "code",
   "execution_count": 179,
   "metadata": {
    "collapsed": false,
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vinta</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>szilard</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>podopie</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>paulgb</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ujjwalkarn</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>automl</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mit-nlp</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>elastic</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>kennethreitz</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>justmarkham</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dhamaniasad</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>brandomr</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>jakevdp</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pydata</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>coursera-dl</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>minimaxir</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>datamade</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mikemull</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fent</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>matplotlib</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fasouto</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>zenorocha</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lensacom</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>jseabold</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rhiever</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>serkanyersen</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nicolaskruchten</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tweepy</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>caesar0301</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>iamaziz</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>generalassembly-studio</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>stitchfix</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>derek73</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>niklasvh</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NathanEpstein</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shutterstock</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rushter</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Charging-Alot</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Quartz</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>toddmotto</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cemoody</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PMSI-AlignAlytics</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lukhnos</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fivethirtyeight</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>acombs</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>80 rows × 12378 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                        https://github.com/wagerfield/parallax  \\\n",
       "bmtgoncalves                                                 0   \n",
       "twitter                                                      0   \n",
       "matryer                                                      0   \n",
       "bloomberg                                                    0   \n",
       "donnemartin                                                  0   \n",
       "cchi                                                         0   \n",
       "monkeylearn                                                  0   \n",
       "misterGF                                                     0   \n",
       "clips                                                        0   \n",
       "hangtwenty                                                   0   \n",
       "sandialabs                                                   0   \n",
       "JohnLangford                                                 0   \n",
       "grangier                                                     0   \n",
       "yhat                                                         0   \n",
       "d3                                                           0   \n",
       "vinta                                                        0   \n",
       "szilard                                                      0   \n",
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       "paulgb                                                       0   \n",
       "ujjwalkarn                                                   0   \n",
       "automl                                                       0   \n",
       "mit-nlp                                                      0   \n",
       "elastic                                                      0   \n",
       "kennethreitz                                                 0   \n",
       "justmarkham                                                  0   \n",
       "dhamaniasad                                                  1   \n",
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       "jakevdp                                                      0   \n",
       "pydata                                                       0   \n",
       "coursera-dl                                                  0   \n",
       "...                                                        ...   \n",
       "minimaxir                                                    0   \n",
       "datamade                                                     0   \n",
       "mikemull                                                     0   \n",
       "fent                                                         0   \n",
       "matplotlib                                                   0   \n",
       "fasouto                                                      1   \n",
       "zenorocha                                                    0   \n",
       "lensacom                                                     0   \n",
       "jseabold                                                     0   \n",
       "rhiever                                                      0   \n",
       "serkanyersen                                                 0   \n",
       "nicolaskruchten                                              0   \n",
       "tweepy                                                       0   \n",
       "caesar0301                                                   0   \n",
       "iamaziz                                                      0   \n",
       "generalassembly-studio                                       0   \n",
       "stitchfix                                                    0   \n",
       "derek73                                                      0   \n",
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       "coursera-dl                                               0   \n",
       "...                                                     ...   \n",
       "minimaxir                                                 0   \n",
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       "stitchfix                                                 0   \n",
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       "niklasvh                                                  0   \n",
       "NathanEpstein                                             0   \n",
       "shutterstock                                              0   \n",
       "rushter                                                   0   \n",
       "Charging-Alot                                             0   \n",
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       "fivethirtyeight                                           0   \n",
       "acombs                                                    0   \n",
       "\n",
       "                        https://github.com/daviddrysdale/python-phonenumbers  \\\n",
       "bmtgoncalves                                                            0      \n",
       "twitter                                                                 0      \n",
       "matryer                                                                 0      \n",
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       "donnemartin                                                             0      \n",
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       "hangtwenty                                                              0      \n",
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       "grangier                                                                0      \n",
       "yhat                                                                    0      \n",
       "d3                                                                      0      \n",
       "vinta                                                                   1      \n",
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       "coursera-dl                                                             0      \n",
       "...                                                                   ...      \n",
       "minimaxir                                                               0      \n",
       "datamade                                                                0      \n",
       "mikemull                                                                0      \n",
       "fent                                                                    0      \n",
       "matplotlib                                                              0      \n",
       "fasouto                                                                 0      \n",
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       "jseabold                                                                0      \n",
       "rhiever                                                                 0      \n",
       "serkanyersen                                                            0      \n",
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       "stitchfix                                                               0      \n",
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       "niklasvh                                                                0      \n",
       "NathanEpstein                                                           0      \n",
       "shutterstock                                                            0      \n",
       "rushter                                                                 1      \n",
       "Charging-Alot                                                           0      \n",
       "Quartz                                                                  0      \n",
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       "cemoody                                                                 0      \n",
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       "lukhnos                                                                 0      \n",
       "fivethirtyeight                                                         0      \n",
       "acombs                                                                  0      \n",
       "\n",
       "                        https://github.com/ikreymer/pywb  \n",
       "bmtgoncalves                                           0  \n",
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       "matryer                                                0  \n",
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       "pydata                                                 0  \n",
       "coursera-dl                                            0  \n",
       "...                                                  ...  \n",
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       "acombs                                                 0  \n",
       "\n",
       "[80 rows x 12378 columns]"
      ]
     },
     "execution_count": 179,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fdf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 192,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "l2 = my_starred_repos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 194,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "l1 = fdf.iloc[-1,:][fdf.iloc[-1,:]==1].index.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 199,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "a = set(l1)\n",
    "b = set(l2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 205,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'https://github.com/Charging-Alot/SpeakEasy-AI',\n",
       " 'https://github.com/bikz05/bag-of-words',\n",
       " 'https://github.com/cchi/viral-markov',\n",
       " 'https://github.com/datamade/name-cleaver',\n",
       " 'https://github.com/ga-students/DAT-23-NYC',\n",
       " 'https://github.com/ga-students/DSI-SF-1',\n",
       " 'https://github.com/ga-students/DS_HK_2',\n",
       " 'https://github.com/generalassembly-studio/dsi-course-materials',\n",
       " 'https://github.com/ipython/ipywidgets',\n",
       " 'https://github.com/jakevdp/2013_fall_ASTR599',\n",
       " 'https://github.com/jseabold/depy',\n",
       " 'https://github.com/lukhnos/textrank-study-python',\n",
       " 'https://github.com/mikemull/Notebooks',\n",
       " 'https://github.com/minimaxir/video-to-gif-osx',\n",
       " 'https://github.com/monkeylearn/twitter-post',\n",
       " 'https://github.com/podopie/DAT18NYC',\n",
       " 'https://github.com/serkanyersen/angular-circular-progress',\n",
       " 'https://github.com/shutterstock/lil-brother',\n",
       " 'https://github.com/summanlp/textrank',\n",
       " 'https://github.com/wdm0006/twitter-pandas',\n",
       " 'https://github.com/yawitzd/dsi-course-materials'}"
      ]
     },
     "execution_count": 205,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "b.difference(a)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 206,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from sklearn.metrics import jaccard_similarity_score\n",
    "from scipy.stats import pearsonr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 392,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "sim_score = {}\n",
    "for i in range(len(fdf)):\n",
    "    ss = pearsonr(fdf.iloc[-1,:], fdf.iloc[i,:])\n",
    "    sim_score.update({i: ss[0]})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 393,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "sf = pd.Series(sim_score).to_frame('similarity')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 395,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>similarity</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.007047</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.134539</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.164320</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0.011832</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0.037096</td>\n",
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       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>0.087020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>0.021139</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>0.036319</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>0.046526</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>0.013933</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>0.037381</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>0.061026</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>0.000220</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>0.105784</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>0.030913</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>-0.002263</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>0.057448</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>0.046087</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>0.024166</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>-0.001845</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>0.042504</td>\n",
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       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>0.000988</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>0.011952</td>\n",
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       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>0.072050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>-0.005711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>-0.001306</td>\n",
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       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>0.015225</td>\n",
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       "      <th>64</th>\n",
       "      <td>0.111629</td>\n",
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       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>0.006731</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>0.018723</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>0.091494</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>0.149323</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>0.004779</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>0.015860</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>-0.003924</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>80 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    similarity\n",
       "0          NaN\n",
       "1          NaN\n",
       "2     0.007047\n",
       "3          NaN\n",
       "4     0.134539\n",
       "5     0.164320\n",
       "6          NaN\n",
       "7     0.011832\n",
       "8          NaN\n",
       "9     0.037096\n",
       "10         NaN\n",
       "11    0.087020\n",
       "12    0.021139\n",
       "13         NaN\n",
       "14         NaN\n",
       "15    0.036319\n",
       "16    0.046526\n",
       "17    0.013933\n",
       "18    0.037381\n",
       "19    0.061026\n",
       "20         NaN\n",
       "21         NaN\n",
       "22         NaN\n",
       "23    0.000220\n",
       "24    0.105784\n",
       "25    0.030913\n",
       "26   -0.002263\n",
       "27    0.057448\n",
       "28         NaN\n",
       "29         NaN\n",
       "..         ...\n",
       "50    0.046087\n",
       "51         NaN\n",
       "52    0.024166\n",
       "53   -0.001845\n",
       "54         NaN\n",
       "55    0.042504\n",
       "56    0.000988\n",
       "57         NaN\n",
       "58    0.011952\n",
       "59    0.072050\n",
       "60   -0.005711\n",
       "61   -0.001306\n",
       "62         NaN\n",
       "63    0.015225\n",
       "64    0.111629\n",
       "65         NaN\n",
       "66         NaN\n",
       "67    0.006731\n",
       "68    0.018723\n",
       "69    0.091494\n",
       "70         NaN\n",
       "71    0.149323\n",
       "72         NaN\n",
       "73         NaN\n",
       "74    0.004779\n",
       "75    0.015860\n",
       "76         NaN\n",
       "77   -0.003924\n",
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       "79    1.000000\n",
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       "      <th>57</th>\n",
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       "      <td>NaN</td>\n",
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       "      <th>66</th>\n",
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       "      <th>73</th>\n",
       "      <td>NaN</td>\n",
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       "      <th>76</th>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>NaN</td>\n",
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       "<p>80 rows × 1 columns</p>\n",
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       "    similarity\n",
       "79    1.000000\n",
       "31    0.204703\n",
       "5     0.164320\n",
       "71    0.149323\n",
       "4     0.134539\n",
       "64    0.111629\n",
       "24    0.105784\n",
       "69    0.091494\n",
       "11    0.087020\n",
       "59    0.072050\n",
       "37    0.070678\n",
       "19    0.061026\n",
       "27    0.057448\n",
       "46    0.049183\n",
       "16    0.046526\n",
       "50    0.046087\n",
       "34    0.044574\n",
       "47    0.043064\n",
       "55    0.042504\n",
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       "18    0.037381\n",
       "9     0.037096\n",
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       "..         ...\n",
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       "28         NaN\n",
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       "41         NaN\n",
       "42         NaN\n",
       "43         NaN\n",
       "49         NaN\n",
       "51         NaN\n",
       "54         NaN\n",
       "57         NaN\n",
       "62         NaN\n",
       "65         NaN\n",
       "66         NaN\n",
       "70         NaN\n",
       "72         NaN\n",
       "73         NaN\n",
       "76         NaN\n",
       "78         NaN\n",
       "\n",
       "[80 rows x 1 columns]"
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     "execution_count": 443,
     "metadata": {},
     "output_type": "execute_result"
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   "execution_count": 453,
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     "data": {
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       "'cchi'"
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     "execution_count": 453,
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   "source": [
    "fdf.index[5]"
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     "data": {
      "text/plain": [
       "https://github.com/linkedin/FeatureFu                                                   1\n",
       "https://github.com/pfnet/chainer                                                        1\n",
       "https://github.com/mitsuhiko/python-regex-scanner                                       1\n",
       "https://github.com/Jam3/math-as-code                                                    1\n",
       "https://github.com/ipython/ipython                                                      1\n",
       "https://github.com/scikit-learn-contrib/lightning                                       1\n",
       "https://github.com/h2oai/h2o-2                                                          1\n",
       "https://github.com/lorien/awesome-web-scraping                                          1\n",
       "https://github.com/kennethreitz/requests                                                1\n",
       "https://github.com/Theano/Theano                                                        1\n",
       "https://github.com/quantopian/pyfolio                                                   1\n",
       "https://github.com/dato-code/PowerGraph                                                 1\n",
       "https://github.com/dclambert/pyensemble                                                 1\n",
       "https://github.com/facebook/fbctf                                                       1\n",
       "https://github.com/makinacorpus/spynner                                                 1\n",
       "https://github.com/cython/cython                                                        1\n",
       "https://github.com/mila-udem/summerschool2015                                           1\n",
       "https://github.com/aikorea/awesome-rl                                                   1\n",
       "https://github.com/Dyakonov/cardioqvark                                                 1\n",
       "https://github.com/yandex/rep                                                           1\n",
       "https://github.com/AlexMathew/scrapple                                                  1\n",
       "https://github.com/jrosebr1/imutils                                                     1\n",
       "https://github.com/HIPS/autograd                                                        1\n",
       "https://github.com/cobrateam/splinter                                                   1\n",
       "https://github.com/piskvorky/gensim                                                     1\n",
       "https://github.com/lorien/weblib                                                        1\n",
       "https://github.com/binux/pyspider                                                       1\n",
       "https://github.com/rkern/line_profiler                                                  1\n",
       "https://github.com/ctfs/write-ups-2014                                                  1\n",
       "https://github.com/jeanphix/Ghost.py                                                    1\n",
       "                                                                                       ..\n",
       "https://github.com/mitmul/chainer-svm                                                   1\n",
       "https://github.com/HIPS/Kayak                                                           1\n",
       "https://github.com/FlorianMuellerklein/Machine-Learning                                 1\n",
       "https://github.com/Dobiasd/programming-language-subreddits-and-their-choice-of-words    1\n",
       "https://github.com/numba/numba                                                          1\n",
       "https://github.com/yasoob/intermediatePython                                            1\n",
       "https://github.com/reddit/reddit                                                        1\n",
       "https://github.com/forwebdev/channels                                                   1\n",
       "https://github.com/hardmaru/neuralslimevolley                                           1\n",
       "https://github.com/scala-native/scala-native                                            1\n",
       "https://github.com/mpearmain/BayesBoost                                                 1\n",
       "https://github.com/MojoJolo/textteaser                                                  1\n",
       "https://github.com/serge-sans-paille/pythran                                            1\n",
       "https://github.com/gdb/kaggle                                                           1\n",
       "https://github.com/robertsdionne/neural-network-papers                                  1\n",
       "https://github.com/spacy-io/spaCy                                                       1\n",
       "https://github.com/wireservice/agate                                                    1\n",
       "https://github.com/bmabey/pyLDAvis                                                      1\n",
       "https://github.com/okulbilisim/awesome-datascience                                      1\n",
       "https://github.com/zer0n/deepframeworks                                                 1\n",
       "https://github.com/fpinscala/fpinscala                                                  1\n",
       "https://github.com/kvh/ramp                                                             1\n",
       "https://github.com/lisa-lab/DeepLearningTutorials                                       1\n",
       "https://github.com/jakevdp/sklearn_pycon2015                                            1\n",
       "https://github.com/scrapy/scrapy                                                        1\n",
       "https://github.com/electron/electron                                                    1\n",
       "https://github.com/tmate-io/tmate                                                       1\n",
       "https://github.com/ScorexProject/Scorex                                                 1\n",
       "https://github.com/mbachry/exxo                                                         1\n",
       "https://github.com/daviddrysdale/python-phonenumbers                                    1\n",
       "Name: rushter, dtype: int64"
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     },
     "execution_count": 452,
     "metadata": {},
     "output_type": "execute_result"
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   "source": [
    "fdf.iloc[71,:][fdf.iloc[71,:]==1]"
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   "execution_count": 510,
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       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>https://github.com/awslabs/ecs-refarch-service-discovery</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <th>https://github.com/skuroda/PackageResourceViewer</th>\n",
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       "    <tr>\n",
       "      <th>https://github.com/nicolashery/mac-dev-setup</th>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>https://github.com/amueller/nyu_ml_lectures</th>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>https://github.com/imkevinxu/xkcdgraphs</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>https://github.com/ReactiveX/RxJavaReactiveStreams</th>\n",
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       "      <th>https://github.com/pengwynn/fumblr</th>\n",
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       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>https://github.com/reactjs/react-future</th>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>https://github.com/dawenl/stochastic_PMF</th>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>https://github.com/codrops/LineMenuStyles</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>https://github.com/jinzhu/gorm</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>https://github.com/wycats/jquery-offline</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>https://github.com/andialbrecht/sqlparse</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>https://github.com/django-compressor/django-appconf</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>https://github.com/mbachry/exxo</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>https://github.com/creationix/node-blog</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>https://github.com/radar/guides</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>https://github.com/dobarkod/typedecorator</th>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>https://github.com/kalcaddle/KODExplorer</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>https://github.com/leah/PullToRefresh</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>https://github.com/brajeshwar/grid</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>https://github.com/nanotech/jellybeans.vim</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>https://github.com/arachnys/cabot</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>https://github.com/mobile-shell/mosh</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>https://github.com/mbbx6spp/7languages7weeks</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>https://github.com/alixander/PyScribe</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>https://github.com/mdenil/dropout</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>https://github.com/technoweenie/twitter-node</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>https://github.com/GRAAL-Research/PAC-Bayes_sample_compress_for_kernel_methods</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>https://github.com/machawk1/archivability</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>https://github.com/rjpower/loony</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>https://github.com/recoilphp/recoil</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>https://github.com/quirkey/static_model</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>https://github.com/Xyl2k/TSA-Travel-Sentry-master-keys</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>https://github.com/codysoyland/jquery-cookie</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>https://github.com/zeit/micro</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>https://github.com/michaelkamprath/iPhoneMK</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>https://github.com/romanofski/zyklop</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>https://github.com/pytest-dev/pytest</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>https://github.com/primus/primus</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>https://github.com/bonzanini/CheerMeApp-demo</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>https://github.com/mikesall/charted</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>https://github.com/daviddrysdale/python-phonenumbers</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>https://github.com/ikreymer/pywb</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>12313 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                    lmcinnes  cchi  rushter\n",
       "https://github.com/wagerfield/parallax                     0     0        0\n",
       "https://github.com/agibsonsw/AndyPython                    0     0        0\n",
       "https://github.com/taion/scroll-behavior                   0     0        0\n",
       "https://github.com/anicollection/anicollection             0     0        0\n",
       "https://github.com/mahmoud/lithoxyl                        0     0        0\n",
       "https://github.com/gciruelos/musthe                        0     0        0\n",
       "https://github.com/slimkrazy/python-google-places          0     0        0\n",
       "https://github.com/afgiel/video_cnn                        0     0        0\n",
       "https://github.com/KristianOellegaard/packer-storm         0     0        0\n",
       "https://github.com/carlsednaoui/ouibounce                  0     0        0\n",
       "https://github.com/aljosa/django-tinymce                   0     0        0\n",
       "https://github.com/mirumee/django-images                   0     0        0\n",
       "https://github.com/Khan/KaTeX                              0     0        0\n",
       "https://github.com/awslabs/ecs-refarch-service-...         0     0        0\n",
       "https://github.com/skuroda/PackageResourceViewer           0     0        0\n",
       "https://github.com/Netflix/SimianArmy                      0     0        0\n",
       "https://github.com/nicolashery/mac-dev-setup               0     0        0\n",
       "https://github.com/amueller/nyu_ml_lectures                0     0        0\n",
       "https://github.com/imkevinxu/xkcdgraphs                    0     0        0\n",
       "https://github.com/ReactiveX/RxJavaReactiveStreams         0     0        0\n",
       "https://github.com/pengwynn/fumblr                         0     0        0\n",
       "https://github.com/opengovernment/opengovernment           0     0        0\n",
       "https://github.com/arkency/reactjs_koans                   0     0        0\n",
       "https://github.com/reactjs/react-future                    0     0        0\n",
       "https://github.com/dawenl/stochastic_PMF                   0     0        0\n",
       "https://github.com/codrops/LineMenuStyles                  0     0        0\n",
       "https://github.com/jinzhu/gorm                             0     0        0\n",
       "https://github.com/wycats/jquery-offline                   0     0        0\n",
       "https://github.com/andialbrecht/sqlparse                   0     0        0\n",
       "https://github.com/django-compressor/django-app...         0     0        0\n",
       "...                                                      ...   ...      ...\n",
       "https://github.com/mbachry/exxo                            0     0        1\n",
       "https://github.com/creationix/node-blog                    0     0        0\n",
       "https://github.com/radar/guides                            0     0        0\n",
       "https://github.com/dobarkod/typedecorator                  0     0        0\n",
       "https://github.com/kalcaddle/KODExplorer                   0     0        0\n",
       "https://github.com/leah/PullToRefresh                      0     0        0\n",
       "https://github.com/brajeshwar/grid                         0     0        0\n",
       "https://github.com/nanotech/jellybeans.vim                 0     0        0\n",
       "https://github.com/arachnys/cabot                          0     0        0\n",
       "https://github.com/mobile-shell/mosh                       0     0        0\n",
       "https://github.com/mbbx6spp/7languages7weeks               0     0        0\n",
       "https://github.com/alixander/PyScribe                      0     0        0\n",
       "https://github.com/mdenil/dropout                          0     0        0\n",
       "https://github.com/technoweenie/twitter-node               0     0        0\n",
       "https://github.com/GRAAL-Research/PAC-Bayes_sam...         0     0        0\n",
       "https://github.com/machawk1/archivability                  0     0        0\n",
       "https://github.com/rjpower/loony                           0     0        0\n",
       "https://github.com/recoilphp/recoil                        0     0        0\n",
       "https://github.com/quirkey/static_model                    0     0        0\n",
       "https://github.com/Xyl2k/TSA-Travel-Sentry-mast...         0     0        0\n",
       "https://github.com/codysoyland/jquery-cookie               0     0        0\n",
       "https://github.com/zeit/micro                              0     0        0\n",
       "https://github.com/michaelkamprath/iPhoneMK                0     0        0\n",
       "https://github.com/romanofski/zyklop                       0     0        0\n",
       "https://github.com/pytest-dev/pytest                       0     0        0\n",
       "https://github.com/primus/primus                           0     0        0\n",
       "https://github.com/bonzanini/CheerMeApp-demo               0     0        0\n",
       "https://github.com/mikesall/charted                        0     0        0\n",
       "https://github.com/daviddrysdale/python-phonenu...         0     0        1\n",
       "https://github.com/ikreymer/pywb                           0     0        0\n",
       "\n",
       "[12313 rows x 3 columns]"
      ]
     },
     "execution_count": 515,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "str_recs_tmp = all_recs[all_recs[myun]==0].copy()\n",
    "str_recs = str_recs_tmp.iloc[:,:-1].copy()\n",
    "str_recs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 516,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>lmcinnes</th>\n",
       "      <th>cchi</th>\n",
       "      <th>rushter</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [lmcinnes, cchi, rushter]\n",
       "Index: []"
      ]
     },
     "execution_count": 516,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "str_recs[(str_recs==1).all(axis=1)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 517,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
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       "https://github.com/numenta/nupic                           0     1        1\n",
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       "https://github.com/airbnb/aerosolve                        0     1        1\n",
       "https://github.com/ogrisel/parallel_ml_tutorial            0     1        1\n",
       "https://github.com/ChristosChristofidis/awesome...         0     1        1\n",
       "https://github.com/PredictionIO/PredictionIO               0     1        1\n",
       "https://github.com/mwaskom/seaborn                         1     0        1\n",
       "https://github.com/okulbilisim/awesome-datascience         0     1        1"
      ]
     },
     "execution_count": 517,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "str_recs[str_recs.sum(axis=1)>1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
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